Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks

M. V. Kovalev ()

Digital Transformation, 2023, vol. 29, issue 3

Abstract: The article describes an approach to implementing the ability of intelligent systems to self-learn through an intelligent framework for the development of artificial neural networks. A method of interaction between intelligent systems and a framework based on a library of reusable components is proposed, which allows to automatically design and train artificial neural networks based on a given problem specification. Based on the analysis of the activity of developers of artificial neural networks, a model of the problem solver of such a framework is described in the form of a hierarchy of actions for the development of artificial neural networks.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abx:journl:y:2023:id:780

DOI: 10.35596/1729-7648-2023-29-3-64-74

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